Monograph on learning with noisy labels by MIT Press. Coming in 2024!
Tongliang Liu is currently working as an Associate Professor in Machine Learning with Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates. He is also the Director of Sydney AI Centre and a Senior Lecturer at University of Sydney, Australia; a Visiting Professor of University of Science and Technology of China, Hefei, China; a Visiting Scientist of RIKEN AIP, Tokyo, Japan.
Tongliang Liu has published more than 100 papers at leading ML/AI conferences and journals, and received best paper awards (or nominations) at IJCAI 2017, ICME 2019, PacificVis 2021.
He has been widely recognised by his research. For example, he was ranked among the Best Rising Stars of Science in Australia by Research.com in 2022; he was ranked among the Global Top Young Chinese Scholars in AI by Baidu Scholar in 2022;
he was named in the Early Achievers Leaderboard by The Australian in 2020. Tongliang received the ARC DECRA Award in 2018, ARC Future Fellowship Award in 2022, and IEEE AI's 10 to Watch Award in 2022.
He also received multiple faculty awards from OPPO and Meituan.
Tongliang is also very proud of his talented students, who have made/are making/will make significant contributions to advancing science. They have also been recognised by many awards, e.g., Google PhD Fellowship Awards.
His research interests lie in providing mathematical and theoretical foundations to justify and understand machine learning models and designing efficient learning algorithms for problems in the field of trustworthy machine learning, with a particular emphasis on
Learning with noisy labels,
Deep adversarial learning,
Causal representation learning,
Deep transfer learning,
Deep unsupervised learning,
Statistical deep learning theory.
He was the senior meta-reviewer of AAAI and IJCAI and is regularly the meta-reviewer of ICML, NeurIPS, ICLR, UAI, AAAI, and IJCAI. He is the Action Editor of Transactions on Machine Learning Research, Associate Editor of ACM Computing Surveys, and in the Editorial Board of Journal of Machine Learning Research and the Machine Learning journal.
We are recruiting PhD and visitors. If you are interested, please send me your CV and transcripts.
12/2022, I accepted the invitation to serve as an Area Chair for ICML 2023.
12/2022, I accepted the invitation to serve as an Area Chair for UAI 2023.
09/2022, I was selected as an Australian Research Council Future Fellow (only three researchers across Australia was awarded in the field of Information and Computing Sciences in 2022).
09/2022, I was appointed as a Visiting Professor with University of Science and Technology of China.
09/2022, I was appointed as a Visiting Associate Professor with Mohammed Bin Zayed University of Artificial Intelligence.
08/2022, I accepted the invitation to serve as an Area Chair for ICLR 2023.